Hierarchical Mixture-of-Experts Model for Large-Scale Gaussian Process Regression

9 December 2014

Papers citing "Hierarchical Mixture-of-Experts Model for Large-Scale Gaussian Process Regression"

10 / 10 papers shown

Title
Ensemble and Mixture-of-Experts DeepONets For Operator Learning Ramansh Sharma Varun Shankar 60 0 0 20 May 2024
Gaussian Process-Gated Hierarchical Mixtures of Experts Yuhao Liu Marzieh Ajirak P. Djuric MoE 16 1 0 09 Feb 2023
Empirical Asset Pricing via Ensemble Gaussian Process Regression Damir Filipović P. Pasricha 26 3 0 02 Dec 2022
Redesigning Multi-Scale Neural Network for Crowd Counting Zhipeng Du Miaojing Shi Jiankang Deng S. Zafeiriou 36 44 0 04 Aug 2022
Fully Decentralized, Scalable Gaussian Processes for Multi-Agent Federated Learning George P. Kontoudis D. Stilwell FedML 19 8 0 06 Mar 2022
Recent Advances in Data-Driven Wireless Communication Using Gaussian Processes: A Comprehensive Survey Kai Chen Qinglei Kong Yijue Dai Yue Xu Feng Yin Lexi Xu Shuguang Cui 38 30 0 18 Mar 2021
Scalable Bayesian Non-linear Matrix Completion Xiangju Qin P. Blomstedt Samuel Kaski 6 2 0 31 Jul 2019
Minimizing Negative Transfer of Knowledge in Multivariate Gaussian Processes: A Scalable and Regularized Approach Raed Al Kontar Garvesh Raskutti Shiyu Zhou 16 22 0 31 Jan 2019
Revisiting Large Scale Distributed Machine Learning R. Ionescu 19 1 0 06 Jul 2015
Distributed Gaussian Processes M. Deisenroth Jun Wei Ng GP 29 340 0 10 Feb 2015